Tech Mahindra Launches AI-Driven Pharmacovigilance Solution with NVIDIA

Tech Mahindra has introduced an innovative AI-powered pharmacovigilance (PV) solution developed in collaboration with NVIDIA to enhance drug safety monitoring and streamline pharmaceutical data management. This business news highlights how Tech Mahindra’s solution addresses key challenges in the pharmaceutical industry, such as data overload and manual processing delays, by automating and improving the accuracy and speed of adverse drug reaction (ADR) case handling.

The AI-driven PV solution leverages Tech Mahindra’s TENO framework integrated with NVIDIA AI Enterprise software, including:
✅ NVIDIA NeMo™ – Generative AI for data curation
✅ NVIDIA NIM™ – Microservices for scalable AI deployment
✅ NVIDIA AI Blueprints – Automated pharmacovigilance workflows

Pharmacovigilance Automation and Compliance

This advanced AI setup automates the entire pharmacovigilance lifecycle, including:

• Case intake and data transformation
• Quality control
• Regulatory compliance management

Key Benefits of the AI-Driven PV Solution:
✔️ 40% faster turnaround times for ADR case handling
✔️ 30% improvement in data accuracy
✔️ 25% reduction in operational costs

By shifting pharmacovigilance from a reactive to a predictive model, Tech Mahindra enhances drug safety and minimizes risks associated with delayed reporting. This approach ensures regulatory compliance while improving overall pharmacovigilance efficiency.

“As the pharmaceutical industry navigates volumes of data during trials and post-launch, our collaboration with NVIDIA leverages generative AI and multi-agent systems to streamline pharmacovigilance processes,” said Nikhil Malhotra, Chief Innovation Officer at Tech Mahindra.

AI and Data Governance Enhancements
Tech Mahindra’s expansion of the TENO framework with NVIDIA AI Enterprise introduces custom AI agents to address broader industry challenges. The framework also incorporates Tech Mahindra’s VerifAI for data validation and governance, ensuring continuous improvements in AI decision-making accuracy.

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